Z-Glyph: Visualizing outliers in multivariate data

Information Visualization, Volume 17, Issue 1, 2018, Pages 22-40.

Cited by: 5|Bibtex|Views66
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Outlier analysis techniques are extensively used in many domains such as intrusion detection. Today, even with the most advanced statistical learning techniques, human judgment still plays an important role in outlier analysis tasks due to the difficulty of defining and collecting outlier examples. This work seeks to tackle this problem b...More

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